You will get a GPT-4 document assistant for your business files
Project details
You will get a production-ready AI document assistant that turns your invoices, contracts, and financial reports into a searchable, queryable knowledge base — answered in plain English with source citations.
I built this system professionally for a Nordic finance client. It is not assembled for this gig. The codebase includes six FastAPI microservices, a Next.js 14 dashboard, GPT-4o extraction, hybrid vector and keyword search via Azure AI Search, an agentic chatbot with five built-in financial tools, real-time SSE streaming, a CFO review queue, contract renewal alerts, HMAC-signed webhooks, and full Terraform infrastructure for Azure.
Every tier includes full source code handoff. You own everything delivered — no lock-in, no ongoing dependency on me unless you choose it.
I am based in Oslo and work in the European timezone, which means fast response times for EU and Nordic clients, and full awareness of GDPR requirements from day one.
I built this system professionally for a Nordic finance client. It is not assembled for this gig. The codebase includes six FastAPI microservices, a Next.js 14 dashboard, GPT-4o extraction, hybrid vector and keyword search via Azure AI Search, an agentic chatbot with five built-in financial tools, real-time SSE streaming, a CFO review queue, contract renewal alerts, HMAC-signed webhooks, and full Terraform infrastructure for Azure.
Every tier includes full source code handoff. You own everything delivered — no lock-in, no ongoing dependency on me unless you choose it.
I am based in Oslo and work in the European timezone, which means fast response times for EU and Nordic clients, and full awareness of GDPR requirements from day one.
AI Algorithms
Autoencoder, Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$150
|
Standard
$320
|
Advanced
$499
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 2 | 5 | 8 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | ||
Model Testing & Optimization | - | - | |
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
GDPR-compliant deployment
(+ 2 Days)
+$60Frequently asked questions
About Md Saidul
AI and LLM Engineer - RAG, LLM, Fraud Detection
Oslo, Norway - 4:06 am local time
For the past two years I've been working professionally in Norway, first at Rolog Solutions as an R&D engineer building an AI-powered monitoring system for 50+ industrial robots, then at Jobswoop as a software engineer running a production data platform on Azure with 99.5% uptime over ten months. Before that, I completed a Master's in Computer Science at UiT — The Arctic University of Norway, where most of my thesis work ended up running in production rather than sitting in a paper.
The kind of work I do: production LLM systems, RAG pipelines, fraud and anomaly detection, agentic AI with tool-calling, EU-compliant cloud infrastructure. Not prototypes — systems that handle real data, real users, and real consequences if something breaks.
Some concrete results: a fraud detection ensemble that reached AUC 0.9980 with Precision 1.0 and Recall 0.96. An agentic RAG platform running on Azure Norway East with GPT-4o tool-calling and real-time streaming, built under Norwegian GDPR. An anomaly detection system that cut false positives by 40% across two million records. A 60% reduction in robot troubleshooting time for a Norwegian robotics company. A 35% reduction in supply chain waste through predictive analytics.
I work across the full stack — LangChain, OpenAI, FastAPI, PostgreSQL, Azure, Terraform, Docker, Kubernetes. I write the models, the APIs, and the infrastructure. I've built to GDPR, EU AI Act, and HIPAA on live systems, so compliance is not something I need to learn on your project.
I'm based in Oslo, which means full working-day overlap with European clients and a reasonable window with the US East Coast. For clients in Asia or the Pacific I'm comfortable working async — I document clearly, communicate proactively, and don't go quiet between updates.
My Upwork track record is new. My engineering track record is not. If the project looks right, I'd genuinely like the chance to prove it.
Steps for completing your project
After purchasing the project, send requirements so Md Saidul can start the project.
Delivery time starts when Md Saidul receives requirements from you.
Md Saidul works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery call and scope confirmation
We align on document types, volume, integrations, and deployment target. I deliver a short technical spec for your sign-off before any code is written.
Backend services and AI pipeline
I build the ingestion API, GPT-4o extraction pipeline, hybrid search index, and agentic chat service with SSE streaming and all agreed tools.